MT that Deceives

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Many popular MT systems, such as Google Translate or Bing Translator (for certain languages), are based purely on statistical models. Such models observe word and phrase co-occurrences in parallel texts and try to learn translation equivalents.

In some cases, this approach leads to systematic errors.

Example of an error during phrase extraction. The system learns a translation pair "nemám" = "I have" which has the opposite meaning.